jefmenegazzo / Intelligent-Vehicle-Perception-Based-on-Inertial-Sensing-and-Artificial-IntelligenceLinks
Intelligent Vehicle Perception Based on Inertial Sensing and Artificial Intelligence
☆44Updated 4 years ago
Alternatives and similar repositories for Intelligent-Vehicle-Perception-Based-on-Inertial-Sensing-and-Artificial-Intelligence
Users that are interested in Intelligent-Vehicle-Perception-Based-on-Inertial-Sensing-and-Artificial-Intelligence are comparing it to the libraries listed below
Sorting:
- Self-driving vehicle with lane keeping functionality on a RPi 3B+.☆14Updated 6 years ago
- This extended Kalman filter combines IMU, GNSS, and LIDAR measurements to localize a vehicle using data from the CARLA simulator.☆76Updated last year
- Sensor fusion between IMU, GNSS and Lidar data using an Error State Extended Kalman Filter.☆79Updated 4 years ago
- Applying extended Kalman filter to KITTI GPS/IMU data for vehicle localization☆80Updated last year
- EKF filter to fuse GPS fix, GPS vel, IMU and Magnetic field☆22Updated 4 months ago
- an awesome list of self-driving algorithms, software, tools☆126Updated 2 years ago
- Lidar and Radar Fusion with EKF and UKF☆35Updated 3 years ago
- state estimation and localization of a self driving car using Error State Extended Kalman Filter from IMU, GPS/GNSS and LIDAR data☆15Updated 5 years ago
- Sensor fusion, state estimation, localization and mapping using the UrbanNav dataset in ROS☆20Updated 3 years ago
- An extended Kalman Filter implementation in Python for fusing lidar and radar sensor measurements☆68Updated 7 years ago
- A ROS package for synchronizing different sensors data topics from lidar, camera, GPS/IMU and saving them according to KITTI Raw Dataset☆30Updated 6 years ago
- Extended Kalman Filter (EKF) for position estimation using raw GNSS signals, IMU data, and barometer☆54Updated 3 years ago
- Python implementation of the Error State Kalman Filter (ESKF). Estimates the pose of a fixed wing UAV with IMU and GNSS measurements. Tes…☆29Updated 4 years ago
- This project implements visual odometry to estimate the trajectory of a self-driving car.☆41Updated last year
- Monitoring the code for navigation purpose☆12Updated 5 years ago
- Visual Odometry and GPS aided Inertial Navigation System research project for the Virginia Tech AOE 5984 Machine Learning class.☆14Updated 6 years ago
- Neural-Kalman GNSS/INS Navigation for Precision Agriculture☆67Updated 2 years ago
- Sensor fusion between Odometry and Lidar data using an Extended Kalman Filter.☆14Updated 4 years ago
- Qt/C++ GUI to Visualize Kitti Dataset GPS+IMU data on OpenStreetMap using EKF☆59Updated 6 years ago
- ☆23Updated 4 years ago
- slam with lidar imu/gps☆25Updated 5 years ago
- Camera trajectory estimation using feature-based Visual Odometry from a monocular camera.☆12Updated last year
- Raw dataset combining precise GNSS and IMU information in a live railway application☆18Updated last year
- An extended Kalman filter for magnetic field SLAM☆25Updated 3 years ago
- Unscented Kalman Filter using IMU and GNSS data for vehicle or mobile robot localization☆30Updated 5 years ago
- Collision Avoidance System for Self-Driving Vehicles by Delta Autonomy, Robotics Institute, CMU☆53Updated 4 years ago
- Sensor Fusion☆45Updated 6 years ago
- This repository contains projects using LiDAR, Camera, Radar and Kalman Filters for Sensor Fusion. Since each type of sensors has their i…☆24Updated 4 years ago
- Monocular Localization with Vector HD map☆17Updated 5 years ago
- Implement Error-State Extended Kalman Filter on fusing data from IMU, Lidar and GNSS.☆30Updated 5 years ago